Seismic Signal Processing TRIZ Cases

A seismic data filter removes aliasing artifacts by modeling energy as Gaussian beams and applying midpoint dip constraints.

Sparse inverse operators extract seismic source wavelets from far-field data, resolving low-frequency inaccuracies in physical models.

Align acoustic waveforms to main echoes, filter residuals, and subtract tool noise to improve cement evaluation accuracy.

Merging time-lapse vintages into a combined dataset eliminates spurious events from individual processing while maintaining accurate 4D subsurface images.

Cascaded one-way wave equations predict internal multiples, reducing computational time by factors of 50 to 100 compared to inverse scattering series.

A seismic analysis system extracts wavelets from 3D data and compares them to a reference model to generate custom surface attributes.

Multi-frequency approach converts time-distributed airgun array data into impulsive seismic signals for accurate processing.

A prestack separating method projects seismic waves into a Z-R-T coordinate system to generate an anisotropic wave vector matrix for accurate separation.

A seismic horizon generation system combines candidate depths from multiple seeds to produce a representative subsurface model.

Generative adversarial networks eliminate coupling noise from distributed acoustic sensing seismic records.

Decomposes seismic signals into frequency subbands to apply adaptive noise attenuation, preserving weak low-frequency data.

Automated horizon volume mapping replaces manual analysis to resolve low-resolution deposition rate data in subsurface volumes.

Iterative inversion with structure tensors attenuates migration noise while preserving geological structures in complex velocity variations.

Complex Laplace frequency parameter transforms marine seismic data to stabilize processing across the full bandwidth.

Iterative tomographic inversion estimates interval velocities and anisotropy parameters to correct positioning errors caused by ignoring subsurface anisotropy.

Calculates horizontal stresses by merging elastic and plastic models, resolving accuracy errors in faulted reservoirs.

Automated wavelet extraction and cross-correlation replace manual interpretation, resolving inconsistency in seismic surface quality assessment.

Segment dynamic image warping estimates time shifts between predicted and acquired seismic data, reducing computation cost in complex geological settings.

Active seismic signals traverse the wellbore to reveal deformation, leakage, and cement voids that acoustic logs miss.

Median and projection filters separate simultaneous source signals, reducing crosstalk noise and improving subsurface image resolution.

A rotation sensor measures streamer orientation to estimate torque noise for particle motion data processing.

Iterative travel time inversion corrects timing errors from clock drift and water velocity variations to enable accurate 4D seismic mapping.

Decomposes subsurface images into components, separating coherent signals from incoherent noise to improve imaging accuracy and reduce computational costs.

A rotating unipole acoustic source measures shear velocity as a function of azimuthal angle to determine formation anisotropy parameters.

A seismic data processing method combines seabed sensor recordings with sea surface reflections to generate subsurface images.

Flattened seismic volumes generate z-slice movie frames composited into geo-referenced animated mosaics.

Joint inversion of dispersion curves estimates mud density and slowness, reducing estimation errors that degrade seismic imaging accuracy.

Multi-component waveform rotation algorithms extract fast shear azimuth directions from non-orthogonal dipole firings, overcoming collar mode interference.

Segmenting marine seismic data into distinct wavefields removes contamination from multiples and ghosts, improving subsurface imaging accuracy.

A phase-only full waveform inversion method computes subsurface velocity models from seismic data using frequency domain transformations.

Up-down deconvolution separates seismic wavefields to redatum data, eliminating water column variations that degrade 4-D survey repeatability.

Estimates quasi-static Stoneley slowness using low-frequency monopole waveforms and frequency-domain processing to extract dispersion data.

A raycasting algorithm reduces the tally of rays based on rendering time to generate dynamic 3D volume datasets.

A structure guided directional weighted vector filter processes seismic data samples using guiding vectors and weighting factors.

Randomized absorbing boundaries dampen wavefields at model edges, eliminating storage access bottlenecks for faster reverse time migration.

Global and deterministic seismic inversions map subsurface waveforms to identify sinkholes, resolving precision trade-offs against invasive mechanical probing.

Ultrasonic transmitter array steers acoustic beams to critical angles for precise formation velocity measurement.

Azimuth-dependent directional designature removes bubble energy and stabilizes primary energy coherence across extended azimuth ranges.

Sparse inversion removes surface-related multiples from seismic data without requiring additional acquisition or wavefield separation.

Calculating decimating weights in a dip-angle image domain increases similarity between datasets with different acquisition geometries, reducing 4D noise.

Derived seismic attributes isolate organic richness signals from compaction effects to resolve false positives in source rock quality prediction.

Computing slowness values at discrete frequencies enables real-time quality control indicators in sonic logging.

Dynamic predicted time-windows from full waveform inversion simulations guide accurate seismic arrival-time picking in noisy data.

Reciprocal condition number method identifies local minima in frequency-slowness plane to generate acoustic dispersion curves for layered systems.

Acoustic impedance analysis of seismic data quantifies organic content to reduce exploration uncertainty in shale gas reservoirs.

Modifying RTM acoustic wave equation boundaries compensates for source and receiver ghosts, correcting angle dependent frequency distortion.

Gaussian pyramids process seismic images at multiple resolutions to overcome cycle-skipping issues and improve signal-to-noise ratio.